Tag: AI

Dr. Errol Brandt evaluates the current state of artificial intelligence, contrasting the prevalent cloud-based infrastructure with Apple’s localized hardware strategy. This analysis explores the economic challenges facing current AI business models and examines the potential impact of future hardware developments on the industry’s reliance on centralized data centers.

Google I/O 2026 was all about improvements in AI. Gemini is getting smarter, faster and more customized. See what was presented at this year’s event, from a more intuitive Gemini Omni to the realization of Android XR with consumer products coming in the fall. We’ve got the highlights.

Google Omni is here, and I got a few days of early access before Google I/O. In this one, I test Google’s new Omni video model across text-to-video, image-to-video, video editing, style transfer, clip extension, avatar/cameo mode, lip-sync repair, camera-angle changes, POV shifts, and full location changes. Google is pitching Omni as the next step after Nano Banana: a multimodal Gemini model that can create video from images, text, video, audio references, and natural language instructions. The interesting part is not just generation. It is conversational video editing, multi-turn refinement, consistent characters, scene memory, style changes, and using Gemini’s world knowledge to make complex ideas visual. My early takeaway: Gemini Omni Flash is not really a Seedance killer yet. If anything, it feels more like the start of Nano Banana for video — less about one perfect text-to-video clip, and more about using AI to remix, repair, restyle, extend, and reimagine video through conversation. It is early. It is definitely not perfect. But if Omni develops the way Nano Banana did for image generation and editing, this could become a much bigger deal than a normal AI video model launch

This video features a discussion between Anthropic CEO Dario Amodei and JPMorgan Chase CEO Jamie Dimon regarding the rapidly evolving landscape of artificial intelligence.

Key Highlights

• Global Competition & Market Impact: Dario Amodei warns that the gap between Western and Chinese AI models is narrowing quickly, with Chinese models expected to catch up in 6 to 12 months. He also predicts significant upheaval in the Software as a Service (SaaS) sector, suggesting that companies failing to adapt to the AI pivot may face bankruptcy.
• AI Investment: Jamie Dimon addresses the massive scale of AI spending, which could reach $1 trillion over the next year. He argues that while it will be difficult to pick individual winners and losers, the technology’s power justifies the investment in infrastructure, chips, and hardware.
• Regulation & Safety: Both leaders discuss the need for oversight without stifling innovation. Amodei expresses caution regarding an “FDA-style” approval process for AI, suggesting that such a model can slow progress. Instead, they discuss models similar to the National Transportation Safety Board (NTSB), which monitors technology once it is deployed.
• Impact on Jobs: The conversation touches on fears of mass unemployment. While some industry leaders warn of 20-30% unemployment, Dimon takes a more historical view, comparing AI to previous technological shifts like the steam engine and electricity. He acknowledges there will be displacement and pain for some workers but remains optimistic about the economy’s ability to create new types of jobs.

The interview concludes by highlighting the uncertainty of the future, with Dimon noting that while disruption is inevitable, the exact path forward for government response—such as universal basic income or retraining programs—remains unclear.

Pippit is the world’s first AI Short Drama Agent powered by the Dreamina Seedance 2.0 engine — and it just changed how I think about pre-production.

I uploaded an old script that’s been collecting dust for years, and Pippit broke it down scene by scene — character arcs, wardrobe continuity, visual design, everything. What came back wasn’t a rough storyboard. It was a moving visual prototype of the series I never had the budget to produce.

In this video I walk through the full workflow, show how the global character management keeps your lead looking the same from episode one to episode five, and share where I think this fits for filmmakers, writers, and indie creators who have stories they can’t afford to tell yet.

Students at Georgia Tech had three hours to build an app using Claude AI. What did the come up with? NBC News’ Kathy Park reports.

In April, Ukrainian President Volodymr Zelensky claimed that Ukrainian-made robots and drones carried out what’s thought to be a world first – an enemy position was captured entirely by ground robotic systems and drones – without any human soldiers.

The claim marks a turning point in modern warfare with robots potentially replacing people on the battlefield. In Iran too, the use of AI and semi-autonomous drones has been a significant development. Weapons makers say the trend saves the lives of soldiers, but what does it mean for civilians and for safety when killing is done by robots.

I built an AI agent. She opened a shop selling novelty mugs, emailed a journalist without being asked, and then leaked our passwords to a total stranger.

AI agents don’t just answer questions – they act. They can browse the web, send emails, and spend your money. Anyone can build one. So my friend Brendan and I did.

We gave it a bank card and a few weeks to show us what it could do.

One prompt. A full cinematic scene. No shot-by-shot prompting, no stitching tools together. OpenArt’s new Smart Shot feature collapses the entire AI video workflow into a single step. You write the idea, Smart Shot generates a complete storyboard with character references, environment, floor plan, lens choices, and cinematography notes, then animates it into a finished multi-shot scene. Powered by GPT Images 2.0 for the storyboard and Seedance 2.0 for motion, Smart Shot solves the three biggest pain points of AI filmmaking: the cinematography learning curve, the manual multi-generation loop, and the handoff problem between image and video models.

In this video I walk through Smart Shot end-to-end using a futuristic product ad as the demo, then show how to continue any scene into a full sequence using the reference image workflow.

Stop rendering your AI content one by one! Google Flow is the ultimate AI canvas, and today I’m showing you how to unlock its secret bulk generation features to create massive amounts of photos and cinematic videos at lightning speed.

In this complete workflow tutorial, I’ll walk you through setting up prompt matrices, using batch processing, and letting Google Flow generate dozens of high-fidelity Veo videos and Nano Banana images all at the exact same time. If you want to scale up your content machine, you need to watch this!